Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/77333
Title: Computational Intelligence in the hospitality industry: A systematic literature review and a prospect of challenges
Authors: Guerra Montenegro, Juan Antonio 
Sánchez Medina, Javier Jesús 
Laña, Ibai
Sánchez Rodríguez, David Cruz 
Alonso González, Itziar Goretti 
Del Ser, Javier
UNESCO Clasification: 3314 Tecnología médica
Keywords: Computational Intelligence
Hospitality And Tourism Management
Hotel Industry
Machine Learning
Predictive Analysis, et al
Issue Date: 2021
Journal: Applied Soft Computing
Abstract: This research work presents a detailed survey aboutComputational Intelligence(CI) applied to variousHotel and Travel Industry areas. Currently, the hospitality industry’s interest in data science is growingexponentially because of their expected margin of profit growth. In order to provide precise stateof the art content, this survey analyzes more than 160 research works from which a detailedcategorization and taxonomy have been produced. We have studied the different approaches onthe various forecasting methods and subareas where CI is currently being used. This research workalso shows an actual distribution of these research efforts in order to enhance the understandingof the reader about this topic and to highlight unexploited research niches. A set of guidelines andrecommendations for future research areas and promising applications are also presented in a finalsection.
URI: http://hdl.handle.net/10553/77333
ISSN: 15684946
DOI: 10.1016/j.asoc.2021.107082
Source: Applied Soft Computing[ISSN 1568-4946],v. 102, (Abril 2021)
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